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Led by Jinwoo Jang, Ph.D.

This project focuses on the development of a streetscape digital twin to advance understanding of how residents and visitors interact with urban infrastructure in order to enhance public safety and livability. The project will leverage a robust sensing and analytics testbed deployed in the City of West Palm Beach, Florida. The testbed is deployed along a 700 m reach of the downtown corridor, combining (1) distributed Wi-Fi sensors that measure the strength of received signals from smartphones and other Wi-Fi-enabled devices; (2) a back-end analytics platform for discerning and recording mobility patterns; (3) a network of RGB cameras; and (4) a data portal with visualization facilities. The planned project will leverage and extend this testbed to capture micro-mobility patterns (e.g., pedestrians, e-scooters, bikes) and associated interactions with the environment (e.g., street objects, city infrastructure, traffic, weather). A coupled modeling system (i.e., digital twin) will build upon trajectory and interaction data to enable simulation and forecasting over variable time horizons (e.g., 1 s - 10 s). The intellectual merit of this project derives from (1) the fusion of heterogeneous data (e.g., point clouds, video, pedestrian trajectories) to enable hyper-local streetscape understanding; (2) dynamic modeling of pedestrian behaviors and context interactions; and (3) the realization of a photorealistic streetscape digital twin. The broader impacts of this project are anticipated to be significant, supporting researchers, city managers, and elected officials in understanding how to optimize the streetscape for residents and visitors.

Under the leadership of Dr. Jang, the project will provide a research experience for up to two REU participants. The first participant will focus on fusion of heterogeneous data sources and behavioral analytics and modeling. The second participant will focus on developing a photorealistic city model based on 3D map data, combining coupled agents to enable streetscape simulation and forecasting.